Process
HR screening -> PyTorch debugging -> Python programming.
Overall good experience, still in the process.
For PyTorch debugging, it would be good to prepare some DL foundation knowledge and how to build a minimal setup for training & evaluation. I mean, people usually apply high-level frameworks at work and might need to refresh such basic but necessary DL foundation knowledge for interview preparation.
Questions
Why would you like to join Wayve?
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Interview Statistics
The following metrics were computed from 7 interview experiences for the Wayve Machine Learning Engineer role.
Success Rate
Wayve's interview process for their Machine Learning Engineer roles is extremely selective, failing the vast majority of engineers.
Experience Rating
Candidates reported having mixed feelings for Wayve's Machine Learning Engineer interview process.
Wayve Work Experiences
- 5.0Amazing cultureMachine Learning Engineer • Current EmployeeLondon, EnglandDecember 9, 2022Pros: Great culture; learning opportunities; leadership opportunities; the lunch is just so good; and opportunity to find good mentorship.Cons: Lacks structure as compared to giant companies
- 5.0Great research companyMachine Learning Engineer • Current EmployeeLondon, EnglandOctober 23, 2023Pros: A fantastic research division working on generative AICons: Scaling the company from research into a viable product can be a struggle.
- 5.0The best company I have ever worked fromMachine Learning Engineer • Current EmployeeLondon, EnglandOctober 14, 2022Pros: - Strong tech culture - Excellent colleagues who are passionate about machine learning - Excellent salary and benefits, including an on-site chef - Having plenty of opportunities to grow as an engineerCons: AV is a tough problem to solve, which means one needs to be comfortable with uncertainty.
